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- Tasks: Build and optimise scalable data pipelines using Azure Databricks and Data Factory.
- Company: Global consultancy with a focus on financial services projects.
- Benefits: Competitive contract rate with potential for extension.
- Other info: Opportunity to work on impactful projects in a fast-paced environment.
- Why this job: Join a dynamic team and enhance your skills in cutting-edge Azure technologies.
- Qualifications: Experience in Azure, Scala, and Agile collaboration required.
The predicted salary is between 50000 - 65000 £ per year.
Our client is a global consultancy currently delivering a project within the financial services space and is seeking an experienced Azure Data Engineer to join on a contract basis.
Strong expertise in Azure Databricks, building and optimizing scalable data pipelines for datasets using Azure Data Factory (ADF) and Azure cloud services.
Hands-on development experience with Scala and performance tuning in large-scale distributed data processing environments.
Ability to collaborate across teams in an Agile setup, with knowledge of CI/CD pipelines and stakeholder communication for end-to-end data engineering delivery.
Contract Details: Initial contract is 6 Months, with likelihood to extend.
Data Engineer - Azure Engineer in City of London employer: RevTech
Contact Detail:
RevTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Azure Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Azure Databricks and Data Factory. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on Agile methodologies and CI/CD pipelines. Be ready to discuss how you've collaborated with teams in the past and how you tackle performance tuning in large-scale environments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Azure Data Engineers like you. Plus, it’s a great way to ensure your application gets noticed!
We think you need these skills to ace Data Engineer - Azure Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks and data pipelines. We want to see how your skills match the job description, so don’t be shy about showcasing your hands-on development experience with Scala!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention your experience in Agile setups and how you’ve successfully collaborated across teams in the past.
Showcase Your Projects: If you've worked on relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those involving performance tuning and CI/CD pipelines.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at RevTech
✨Know Your Azure Inside Out
Make sure you brush up on your Azure Databricks and Azure Data Factory skills. Be ready to discuss how you've built and optimised data pipelines in the past, and have specific examples at hand to showcase your expertise.
✨Showcase Your Coding Skills
Since hands-on development experience with Scala is crucial, prepare to demonstrate your coding abilities. You might be asked to solve a problem or optimise a piece of code during the interview, so practice common scenarios beforehand.
✨Emphasise Collaboration and Agile Experience
Highlight your experience working in Agile teams. Be prepared to discuss how you've collaborated with different stakeholders and contributed to end-to-end data engineering delivery. Real-life examples will make your points more compelling.
✨Understand CI/CD Pipelines
Familiarise yourself with Continuous Integration and Continuous Deployment processes. Be ready to explain how you've implemented or worked with CI/CD pipelines in your previous roles, as this knowledge is key for the position.